3篇
您的检索式：作者名="Fernando Prates"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Contribution of major structural changes in myofibrils to rabbit meat tenderisation during ageing显示文摘 | José A Mestre Prates Fernando J.S Garcia e Costa António Mário R Ribeiro António A Dias Correia | 2002 | Meat Science2002，，1： | 1 |
| 2 | Gender does not influence cystatin C concentrations in healthy volunteers显示文摘 | Letícia Schwerz Weinert Aline Bodanese Prates Fernando Barcellos do Amaral Marina Zerwes Vaccaro Joíza Lins Camargo Sandra Pinho Silveiro | 2010 | Clinical Chemistry and Laboratory Medicine2010，，3： | 1 |
| 3 | Recommendations for improved tropical cyclone formation and position probabilistic Forecast products显示文摘Prediction of the potentially devastating impact of landfalling tropical cyclones(TCs)relies substantially on numerical prediction systems.Due to the limited predictability of TCs and the need to express forecast confidence and possible scenarios,it is vital to exploit the benefits of dynamic ensemble forecasts in operational TC forecasts and warnings.RSMCs,TCWCs,and other forecast centers value probabilistic guidance for TCs,but the International Workshop on Tropical Cyclones(IWTC-9)found that the“pull-through”of probabilistic information to operational warnings using those forecasts is slow.IWTC-9 recommendations led to the formation of the WMO/WWRP Tropical Cyclone-Probabilistic Forecast Products(TC-PFP)project,which is also endorsed as a WMO Seamless GDPFS Pilot Project.The main goal of TC-PFP is to coordinate across forecast centers to help identify best practice guidance for probabilistic TC forecasts.TC-PFP is being implemented in 3 phases:Phase 1(TC formation and position);Phase 2(TC intensity and structure);and Phase 3(TC related rainfall and storm surge).This article provides a summary of Phase 1 and reviews the current state of the science of probabilistic forecasting of TC formation and position.There is considerable variability in the nature and interpretation of forecast products based on ensemble information,making it challenging to transfer knowledge of best practices across forecast centers.Communication among forecast centers regarding the effectiveness of different approaches would be helpful for conveying best practices.Close collaboration with experts experienced in communicating complex probabilistic TC information and sharing of best practices between centers would help to ensure effective decisions can be made based on TC forecasts.Finally,forecast centers need timely access to ensemble information that has consistent,user-friendly ensemble information.Greater consistency across forecast centers in data accessibility,probabilistic forecast products,and warnings and their communication to users will produce more reliable information and support improved outcomes. | Jason P.Dunion Chris Davis Helen Titley Helen Greatrex Munehiko Yamaguchi John Methven Raghavendra Ashrit Zhuo Wang Hui Yu Anne-Claire Fontan Alan Brammer Matthew Kucas Matthew Ford Philippe Papin Fernando Prates Carla Mooney Andrew Kruczkiewicz Paromita Chakraborty Andrew Burton Mark DeMaria Ryan Torn Jonathan L.Vigh | 2023 | Tropical Cyclone Research and Review2023，12，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员